Radar scheme design method based on machine learning

Abstract

The invention discloses a radar scheme design method based on machine learning, and the method comprises the steps: carrying out the feature extraction of each type of radar scheme performance indexesand corresponding subsystem type indexes through employing a scheme sample, enabling a scheme to be abstracted into sequence data, and carrying out the data preprocessing operation; secondly, training a machine learning model by utilizing the scheme feature sequence, taking a radar overall system performance index in sample data as model input, taking a radar subsystem type index as model output,obtaining an internal node connection weight of the model, and obtaining a network model of scheme feature design; and finally inputting the index parameter characteristics of the to-be-designed scheme into a training module, and finally outputting the type parameters of each subsystem of the radar scheme to complete the radar module-level scheme design work. The invention provides a novel radarscheme design method which can overcome the defects that a traditional radar system is complex in design process and uneven in design level, is low in implementation cost and high in efficiency, and can provide effective reference for radar designers.

Description

technical field [0001] The invention relates to a radar scheme design method based on machine learning, and belongs to the technical field of radar system scheme design. Background technique [0002] In the era of artificial intelligence, machine learning algorithms represented by neural networks are widely used in various aspects such as intelligent design and intelligent manufacturing. Traditional computer-aided design (CAD) refers to the use of software to help designers compare various system solutions and device optimization. Inferior, as the role of providing advice and as a tool, the degree of intelligence is limited, it requires a lot of manual participation, the efficiency is low, and the design level depends on the designer's experience and knowledge. [0003] As an electronic device that uses radio radiation energy to detect and locate, there are many types of radars with different functions and systems, which have important applications in both military and civil...

AI Technical Summary

Problems solved by technology

[0002] In the era of artificial intelligence, machine learning algorithms represented by neural networks are widely used in various aspects such as intelligent design and intelligent manufacturing. Traditional computer-aided design (CAD) refers to the use of software to help designers compare various system solutions and device optimization. Inferior, as the role of providing advice and as a tool, the degree of intelligence is limited, a large amount of manual participation is required, the efficiency is low, and the design level depends on the designer's experience and knowledge ability

[0003] As an electronic device that uses radio radiation energy to detect and locate, there are many types of radars with different functions and systems, which have important applications in both military and civilian fields in our country. Due to the complexity and comprehensiveness of radar systems, the development of radars often takes up Designers spend a lot of energy and time weighing design schemes, and carry out detailed calculation and verification of scheme design content, lack of intelligent auxiliary design or even intelligent tools to provide basic schemes

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